{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'TCHEM_INSTALL_PATHexample/run/PFR'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes\n",
    "from mpl_toolkits.axes_grid1.inset_locator import mark_inset\n",
    "from mpl_toolkits.axes_grid1 import host_subplot\n",
    "import mpl_toolkits.axisartist as AA\n",
    "import numpy as np\n",
    "import os\n",
    "os.getcwd() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = np.genfromtxt(\"PFRSolution.dat\", dtype=str)\n",
    "Header = (data[0,:]).tolist()\n",
    "solTchem = (data[1:,:]).astype(np.float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makePlotV2(x, y1, y2, y3, info, fig_name):\n",
    "    loc_x = info['loc_x']\n",
    "    loc_y = info['loc_y']\n",
    "    \n",
    "    ys1 = info['label1']['scale']\n",
    "    ys2 = info['label2']['scale']\n",
    "    ys3 = info['label3']['scale']\n",
    "    \n",
    "    label1 = info['label1']['label'] + ' x'+str(ys1)\n",
    "    label2 = info['label2']['label'] + ' x'+str(ys2)\n",
    "    label3 = info['label3']['label'] + ' x'+str(ys3)\n",
    "    \n",
    "    fig, ax = plt.subplots(figsize=[5,4])\n",
    "    p1 = ax.plot(x, y1/ys1,'r-',label = label1)\n",
    "    p2 = ax.plot(x, y2/ys2,'g-',label = label2)\n",
    "    p3 = ax.plot(x, y3/ys3,'b-',label = label3)\n",
    "    plt.xlabel(info['xlabel'])\n",
    "    plt.ylabel(info['ylabel'])\n",
    "    \n",
    "    plt.xlim(info['xlim'])\n",
    "    plt.ylim(info['ylim'])\n",
    "\n",
    "    \n",
    "    axins = ax.inset_axes(info['loc_zoom'])\n",
    "    axins.plot(x,y1/ys1,'r.-')\n",
    "    axins.plot(x,y2/ys2,'g.-')\n",
    "    axins.plot(x,y3/ys3,'b.-')\n",
    "    \n",
    "    # sub region of the original image\n",
    "    x1, x2, y1s, y2s = info['zoom']\n",
    "    axins.set_xlim(x1, x2)\n",
    "    axins.set_ylim(y1s, y2s)\n",
    "    axins.set_yticks([])\n",
    "    axins.set_xticks([])\n",
    "    # added these three lines\n",
    "    lns = p1+p2+p3\n",
    "    labs = [l.get_label() for l in lns]\n",
    "    ax.legend(lns, labs, bbox_to_anchor=(loc_x, loc_y),frameon=False)\n",
    "    \n",
    "    \n",
    "#     axins.xticks(visible=False)\n",
    "#     axins.yticks(visible=False)\n",
    "    \n",
    "    # draw a bbox of the region of the inset axes in the parent axes and\n",
    "    # connecting lines between the bbox and the inset axes area\n",
    "    mark_inset(ax, axins, loc1=2, loc2=4, fc=\"none\", ec=\"0.75\")\n",
    "    plt.draw()\n",
    "    plt.savefig(fig_name,bbox_inches='tight')\n",
    "    \n",
    "    return\n",
    "\n",
    "def makefigure3(x, y1, y2, y3, info, figure_name='TempDensVelPFR' ):\n",
    "    \n",
    "    label1 = info['label1']['label']\n",
    "    label2 = info['label2']['label']\n",
    "    label3 = info['label3']['label']\n",
    "    \n",
    "    ylabel1 = label1 + info['label1']['units']\n",
    "    ylabel2 = info['label2']['units']\n",
    "    \n",
    "    fig = plt.figure()\n",
    "    host = AA.Axes(fig, [0.1, 0.1, 0.8, 0.8]) \n",
    "    fig.add_axes(host)\n",
    "\n",
    "    par1 = host.twinx()\n",
    "\n",
    "    host.set_xlabel(\"Position [m]x1e-2\")\n",
    "    host.set_ylabel(ylabel1)\n",
    "    par1.set_ylabel(ylabel2)\n",
    "\n",
    "    p1 = host.plot(x, y1,'r-', label=label1)\n",
    "    p2 = par1.plot(x, y2,'b-', label=label2)\n",
    "    p3 = par1.plot(x, y3,'g-', label=label3)\n",
    "\n",
    "    loc_x = info['loc_x']\n",
    "    loc_y = info['loc_y']\n",
    "    \n",
    "    par1.set_xlim(info['xlim'])\n",
    "\n",
    "    # added these three lines\n",
    "    lns = p1+p2+p3\n",
    "    labs = [l.get_label() for l in lns]\n",
    "    host.legend(lns, labs, bbox_to_anchor=(loc_x, loc_y),frameon=False)\n",
    "\n",
    "    inset = AA.Axes(fig, [info['inset_x1'], info['inset_y1'], info['inset_x2'], info['inset_y2']]) \n",
    "    fig.add_axes(inset)\n",
    "    inset.plot(x, y1,'r.-')\n",
    "    inset.set_yticks([])\n",
    "    par2 = inset.twinx()\n",
    "    par2.set_yticks([])\n",
    "    par2.plot(x, y2,'b.-')\n",
    "    par2.plot(x, y3,'g.-')\n",
    "\n",
    "    inset.set_xlim(info['xlim2'])\n",
    "    \n",
    "    plt.savefig(figure_name,bbox_inches='tight')\n",
    "    return "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['label1'] = {'label':'Temperature','units':' [K]'}\n",
    "info['label2'] = {'label':'Density','units':' [kg/m3] or [m/s]'}\n",
    "info['label3'] = {'label':'Velocity','units':' [m/s]'}\n",
    "info['loc_x'] = 0.25\n",
    "info['loc_y'] = 0.75\n",
    "info['xlim'] = [0.,0.025*1e2]\n",
    "info['xlim2'] = [0.0044*1e2,0.0050*1e2]\n",
    "info['inset_x1'] = 0.55\n",
    "info['inset_y1'] = 0.4\n",
    "info['inset_x2'] = 0.3\n",
    "info['inset_y2'] = 0.4\n",
    "x  = solTchem[:,Header.index('t')]\n",
    "y1 = solTchem[:,Header.index('Temperature[K]')]\n",
    "y2 = solTchem[:,Header.index('Density[kg/m3]')]\n",
    "y3 = solTchem[:,Header.index('velocity[m/s]')]\n",
    "makefigure3(x*100, y1, y2, y3, info, figure_name='TempDensVelPFR2.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['label1'] = {'label':'OX','scale':1}\n",
    "info['label2'] = {'label':'CHX  ','scale':1e-7}\n",
    "info['label3'] = {'label':'CHOX ','scale':1e-9}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Site Fraction'\n",
    "info['zoom'] = [0.0044*100, 0.0050*100, 0.0, 0.26]\n",
    "info['loc_zoom'] = [0.5, 0.2, 0.47, 0.47]\n",
    "info['loc_x'] = 0.25\n",
    "info['loc_y'] = 0.95\n",
    "# info['zoom_scale'] = 10\n",
    "info['xlim'] = [0.,0.02*100]\n",
    "info['ylim'] = [0.,1]\n",
    "x  = solTchem[:,Header.index('t')]\n",
    "y1 = solTchem[:,Header.index('OX(25)')]\n",
    "y2 = solTchem[:,Header.index('CHX(28)')]\n",
    "y3 = solTchem[:,Header.index('CHOX(33)')]\n",
    "\n",
    "makePlotV2(x*100, y1, y2, y3, info, 'surf2.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "scale =100\n",
    "info['label1'] = {'label':'X','scale':1}\n",
    "info['label2'] = {'label':'CH4X','scale':1e-2}\n",
    "info['label3'] = {'label':'OHX','scale':5e-5}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Site Fraction'\n",
    "info['zoom'] = [0.0035*scale, 0.007*scale, 0.25, 1]\n",
    "info['loc_x'] = 0.28\n",
    "info['loc_y'] = 0.5\n",
    "info['zoom_scale'] = 2.3\n",
    "info['xlim'] = [0.,0.025*scale]\n",
    "info['ylim'] = [0.,1]\n",
    "info['loc_zoom'] = [0.5, 0.5, 0.47, 0.47]\n",
    "\n",
    "y1 = solTchem[:,Header.index('X(1)')]\n",
    "y2 = solTchem[:,Header.index('CH4X(24)')]\n",
    "y3 = solTchem[:,Header.index('OHX(31)')]\n",
    "# makePlot(x, y1, y2, y3, info, \"surf1.pdf\")\n",
    "makePlotV2(x*100, y1, y2, y3, info, 'surf1.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['xlabel'] = 'Position [m] x1e-2'\n",
    "info['ylabel'] = 'Mass Fraction'\n",
    "info['zoom'] = [0.0042*100, 0.0052*100, 0.0, 0.015]\n",
    "info['loc_x'] = 0.35\n",
    "info['loc_y'] = 0.95\n",
    "info['zoom_scale'] = 3\n",
    "info['xlim'] = [0.,0.02*100]\n",
    "info['ylim'] = [0.,0.06]\n",
    "info['loc_zoom'] = [0.5, 0.2, 0.47, 0.47]\n",
    "info['label1'] = {'label':'CH4','scale':1}\n",
    "info['label2'] = {'label':'OH','scale':1}\n",
    "info['label3'] = {'label':'CH3OH','scale':1e-2}\n",
    "y1 = solTchem[:,Header.index('CH4(2)')]\n",
    "y2 = solTchem[:,Header.index('OH(17)')]\n",
    "y3 = solTchem[:,Header.index('CH3OH(14)')]\n",
    "\n",
    "makePlotV2(x*100, y1, y2, y3, info, 'gas1.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "info={}\n",
    "info['label1'] = {'label':'O2','scale':1}\n",
    "info['label2'] = {'label':'HCO','scale':5e-7}\n",
    "info['label3'] = {'label':'CH3OO','scale':5e-6}\n",
    "info['xlabel'] = 'Position [m]x1e-2'\n",
    "info['ylabel'] = 'Mass Fraction'\n",
    "info['zoom'] = [0.0035*1e2, 0.012*1e2, 0.0, 0.08]\n",
    "info['loc_x'] = 0.5\n",
    "info['loc_y'] = 0.95\n",
    "info['zoom_scale'] = 1.5\n",
    "info['xlim'] = [0.,0.025*1e2]\n",
    "info['ylim'] = [0.,0.23]\n",
    "info['loc_zoom'] = [0.5, 0.2, 0.47, 0.47]\n",
    "\n",
    "y1 = solTchem[:,Header.index('O2(3)')]\n",
    "y2 = solTchem[:,Header.index('HCO(15)')]\n",
    "y3 = solTchem[:,Header.index('CH3OO(20)')]\n",
    "makePlotV2(x*1e2, y1, y2, y3, info, 'gas2.pdf')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
